Driving world models
Alex Kendall
Coauthor of GAIA-1, a generative world model for autonomous driving.
- Tracked papers
- 1
- Past year
- 0
- Editor picks
- 1
Latest tracked paper · Sep 29, 2023
GAIA-1: A Generative World Model for Autonomous DrivingWorld Models · People behind the papers
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Driving world models
Coauthor of GAIA-1, a generative world model for autonomous driving.
Latest tracked paper · Sep 29, 2023
GAIA-1: A Generative World Model for Autonomous DrivingDriving simulation
Coauthor of Vista, a controllable driving world model.
Latest tracked paper · May 27, 2024
Vista: A Generalizable Driving World Model with High Fidelity and Versatile ControllabilityModel-based reinforcement learning
Coauthor of SimPLe, which uses a learned video model for Atari reinforcement learning.
Latest tracked paper · Mar 1, 2019
Model-Based Reinforcement Learning for AtariLearning and acting in imagination
Coauthor of PlaNet, the Dreamer series and DayDreamer, spanning latent dynamics and physical robot learning.
Latest tracked paper · Jan 10, 2023
Mastering Diverse Domains through World ModelsRecurrent world models
Coauthor of World Models and PlaNet, early approaches to learning compact dynamics for control.
Latest tracked paper · Nov 12, 2018
Learning Latent Dynamics for Planning from PixelsSpatial intelligence and robotic world models
Coauthor of Dream What I Can and T2-z, studying visual planning and robotic world models.
Latest tracked paper · Oct 20, 2026
Dream What I Can: Sparse Visual Planning for Long-Horizon Robot ManipulationTransformer and diffusion world models
Coauthor of IRIS and DIAMOND, studying transformer and diffusion world models for Atari.
Latest tracked paper · May 20, 2024
Diffusion for World Modeling: Visual Details Matter in AtariRecurrent world models
Coauthor of World Models, which learns a compact representation of an environment for control.
Latest tracked paper · Mar 27, 2018
World ModelsInteractive simulation and planning
Coauthor of UniSim, studying interactive real-world simulation for agents.
Latest tracked paper · Oct 9, 2023
Learning Interactive Real-World SimulatorsJoint-embedding predictive architectures
Coauthor of I-JEPA and V-JEPA 2, learning predictive representations from images and video.
Latest tracked paper · Oct 14, 2026
EV-JEPA: Elastic V-JEPA for Any Device and Cross-Device InferenceWorld models for continuous control
Coauthor of TD-MPC2, a latent world-model approach to continuous control.
Latest tracked paper · Oct 20, 2026
Simulation Priors for Rapid Adaptation in Model-Based RL for Autonomous RacingPhysical robot learning and simulation
Coauthor of DayDreamer and UniSim, connecting world models with physical learning and interactive simulation.
Latest tracked paper · Oct 21, 2026
SuperMimic: Scaling Humanoid Whole-Body Control with One Differentiable World ModelModel-based reinforcement learning
Coauthor of SimPLe, studying reinforcement learning through learned environment dynamics.
Latest tracked paper · Mar 1, 2019
Model-Based Reinforcement Learning for AtariInteractive world simulation
Coauthor of UniSim, a learned simulator conditioned on actions and interactions.
Latest tracked paper · Oct 28, 2026
MLE-World: Predicting Machine Learning Experiment Outcomes with a Learned World ModelGenerative interactive environments
Coauthor of Genie, which learns action-controllable environments from video.
Latest tracked paper · Feb 23, 2024
Genie: Generative Interactive EnvironmentsWorld models for continuous control
Coauthor of TD-MPC2, studying scalable world models for control.
Latest tracked paper · Oct 20, 2026
Simulation Priors for Rapid Adaptation in Model-Based RL for Autonomous RacingPredictive representation learning
Coauthor of I-JEPA and V-JEPA 2, predictive architectures for learning representations and planning.
Latest tracked paper · Oct 30, 2026
Proving and Improving the Platonic Representation Hypothesis with JEPAsThis directory selects researchers with source-linked contributions to world-model research, spanning latent dynamics, predictive representations, simulation, driving and robotics. It is a starting set, not an exhaustive list or a global impact ranking.
Counts include visible World Models papers collected by Radar. Each paper counts once per scientist, regardless of author order. “Past year” uses the paper’s publication date; editor picks reflect Radar’s editorial selections. Author names use explicit full-name aliases, including diacritic and known name variants. Name matches can still need disambiguation; consult the source paper.
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